Sekai-1
8BitStudio · Kit
A 95.6M-parameter English chat model trained from scratch on one RTX 5060 Ti, small enough to run on a CPU. For people who want a tiny local language model to…
8BitStudio · Kit
A 95.6M-parameter English chat model trained from scratch on one RTX 5060 Ti, small enough to run on a CPU. For people who want a tiny local language model to…
XingChen-AGI · Kit
Generates text and works through multi-step jobs such as planning and tool calls, in English and Chinese, with a 256K context window. A mixture-of-experts mode…
unsloth · Kit
Runs OpenAI's open-weight gpt-oss-20b reasoning model on your own computer, packed as GGUF files by unsloth. Suits developers who want a local model with adjus…
tcmofashi · Kit
Plays a persona in Chinese QQ group chats by reading the chat history and writing one short, casual reply with no visible reasoning. A merged 9B fine-tune of Q…
Qwen · Kit
Scores how well each passage answers a query, to put the best passages first in search and retrieval systems. A 0.6B text reranking model covering over 100 lan…
Qwen · Kit
Provides Qwen3-0.6B-Base, the small pretrained base model of the Qwen3 family, trained on 119 languages with a 32k context. For developers who fine-tune or stu…
prism-ml · Kit
Runs a 27B-class reasoning model as a 1-bit GGUF file of about 3.9 GB for llama.cpp, so it fits a laptop or one GPU. For people who want local reasoning on eve…
peculiar-ragdoll · Kit
Compressed GGUF copies of the 4B Spark-X2.5 coding model, tuned for long context on GPUs with about 6 GB of memory. Made for developers who want a local coder…
osunlp · Kit
An open 1.2B base language model from osunlp, a looped transformer with attention residuals, released with checkpoints from a 500B-token training run. For text…
KRAFTON · Kit
Runs a 28.8B mixture-of-experts model tuned for Korean chat, reasoning and tool-using agents in llama.cpp. GGUF copy of Raon-1 mini preview for people who run…
JuneoAI · Kit
Judges which action an AI agent should take, who should own a task and who may see what, as a 4B model that runs on your own hardware so organizational data st…
JetBrains · Kit
A 12B mixture-of-experts thinking model with 2.5B active parameters, trained with reinforcement learning on real repositories for coding agents, math and hard…
InternScience · Kit
Runs Sage-A1.5, a 35B mixture-of-experts agentic model for long scientific tasks, as a 4-bit GGUF file. It can split work across subagents and check its own pr…
inclusionAI · Kit
Handles complex agent, search, office and coding work with 560B total and 25B active parameters and a 1M-token context. Serving examples use SGLang on multi-GP…
IFM · Kit
Writes text, code and reasoning answers with a 512K-token context window, for developers and researchers who want an open dense model whose training data, code…
ibm-granite · Kit
Reasons step by step, writes code, calls tools and chats in several languages with a context of up to 128K tokens, extendable to 512K. IBM's dense 8B model, fo…
HuggingFaceTB · Kit
Writes text and answers questions as a small 3B open model with switchable step-by-step thinking, tool calling and long context, for developers who want a comp…
ErtasAI · Kit
Open-weight medical language model squeezed to 22 GB, best at clinical calculations and facts from long patient records. For teams building medical AI products…
empero-ai · Kit
Runs a small 2B reasoning model on phones, laptops and single-board computers, as GGUF files in five quant levels. A distillation of a large Qwen3.8 model, pac…
DRUPEs · Kit
A 2B coding and chat model built on MiniCPM5-2B that is much better at web apps needing several features in one component. For developers who want a small loca…
digi-the-robot · Kit
A tiny 15.7M-parameter language model that plays a wild crow, answering with moods, actions and crow sounds and remembering how you treat him. For tinkerers an…
bartowski · Kit
GGUF quantizations of Nanbeige4.3-33B, made by bartowski with an importance matrix, from about 21 GB to 66 GB. For running a 33B English and Chinese text model…
z-lab · Kit
A draft model that speeds up Qwen3.8-27B by proposing a block of tokens for the main model to check. Not standalone. For people serving Qwen3.8-27B with SGLang…
XHToken · Kit
Generates text with a compact 1.7B model for on-device use, with three adjustable thinking levels. Suits developers who want coding, agent and long-context hel…
TinyLlama · Kit
Chats in plain text as a small 1.1B language model that runs with little memory. For developers and researchers who want a compact chat model built on a Llama-…
tencent · Kit
Translates text among 33 languages and follows translation instructions, in a 1.8B model from Tencent. For developers and teams who want a small translation mo…
nvidia · Kit
A pre-quantized NVFP4 copy of Alibaba's Qwen3.6-35B-A3B, made by NVIDIA with Model Optimizer. It takes text, images and video, and runs on vLLM with Hopper or…
NousResearch · Kit
Runs as a reasoning chat model that can think step by step or answer fast, and returns JSON that fits a schema you give it. Made for people who host their own…
MineAITechnology · Kit
A small 355M English chat model from MineAI Technology that follows a simple User and Assistant format. A research-grade model that stops cleanly and writes sh…
meituan-longcat · Kit
Native multimodal model that handles text, images and audio as discrete tokens in one system, with 74.3B parameters. For researchers and developers building ap…
incoai · Kit
Speeds up Qwen3.8-Flash-Next by drafting several tokens at once for the main model to check, for engineers who serve that model with SGLang and want faster out…
empero-ai · Kit
Runs a 4B reasoning model on a laptop or a mid-range graphics card, as GGUF files in five quant levels. A distillation of a large Qwen3.8 model, packaged by Em…
XHToken · Kit
Runs a small 1.7B on-device language model from XHToken as 4-bit GGUF files, for chat, coding and agent tasks in English and Chinese, with adjustable thinking…
lapadatbogdan · Kit
Runs a pruned GLM-5.3-Flash coding and agent model on a home PC, as GGUF files in five quant sizes. It keeps 152 of 288 experts per layer, cutting a 321B model…
InternScience · Kit
Works through long scientific tasks as an agent that delegates to subagents, checks its own progress and revises its plan. A 35B mixture-of-experts model for r…
empero-ai · Kit
Reasons step by step before it answers, using a 35B mixture-of-experts model that activates about 3B parameters per token. Distilled from Qwen3.8 teacher trace…
sabicap · Kit
A 27B agentic text model built on Qwen3.8-27B with open-source RL environments, reporting higher terminal and coding-agent scores, for developers building codi…
Qwen · Kit
Turns text into vectors for search, code retrieval, classification and clustering, in over 100 languages. The 8B model in Qwen's embedding family, with adjusta…
Qwen · Kit
Runs Qwen3-8B as quantized GGUF files in llama.cpp or Ollama, with a thinking mode for math, code and logic and a plain mode for chat. For people who want a lo…
peasantsmith · Kit
Five GGUF compressions of GLM-5.3-Flash, a 321B mixture-of-experts model, sized from 73.4 GB to 156.3 GB for Project Maya, which spreads the model across GPU,…
hindsight-ai · Kit
Answers typed questions about a text state with a probability for every option in one pass, with no generated text, in eight languages. A 0.8B decision model f…
empero-ai · Kit
GGUF quantizations of Empero's Qwen3.8-9B, a reasoning model distilled from a larger Qwen3.8 into the Qwen3.5-9B design, for llama.cpp, Ollama, LM Studio and s…
yuxinlu1 · Kit
A GGUF fine-tune of Google's Gemma 4 12B instruction model for coding and tool-using agent work, sized to run offline on a machine with about 4.5 GB of free me…
Qwen · Kit
Qwen's 8.2B open language model that switches between a thinking mode for hard problems and a plain mode for chat, with tool use and support for over 100 langu…
nvidia · Kit
NVIDIA's 4-bit NVFP4 build of Alibaba's Qwen3.8-27B, made with Model Optimizer for Blackwell GPUs, taking text, image and video in and giving text back.
KRAFTON · Kit
Chats and reasons, with a strength in Korean, and runs tool-calling agent tasks. A 28.8B mixture-of-experts model that activates 4.3B parameters per token with…
hazyresearch · Kit
Research checkpoints from Hazy Research for Next-Concept Modeling, a coarse-to-fine text generation method, with tokenizer and generator pairs for summarizatio…
empero-ai · Kit
Runs a 35B Mixture-of-Experts model with about 3B active parameters per token from GGUF files in ten sizes, plus a vision projector. For llama.cpp, Ollama, LM…
unsloth · Kit
Runs Unsloth's GGUF copy of the GLM-5.3-Flash text model on your own hardware, a large open model its authors aim at coding and agent work. For people with ple…
Qwen · Kit
The smallest Qwen3 chat model, built on Qwen3-0.6B-Base. It switches between a thinking mode and a quicker plain mode, handles 100+ languages and a 32,768-toke…